Genetic analysis of average annual productivity of Nellore breeding cows (COWPROD)
|
|
- Ambrose Lester
- 6 years ago
- Views:
Transcription
1 Genetic analysis of average annual productivity of Nellore breeding cows (COWPROD) J.P. Eler, J.B.S. Ferraz, J.C.C. Balieiro and E.C. Mattos Grupo de Melhoramento Animal e Biotecnologia, Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, Pirassununga, SP, Brasil Corresponding author: J.P. Eler joapeler@usp.br Genet. Mol. Res. 7 (1): (2008) Received November 20, 2007 Accepted December 7, 2007 Published March 11, 2008 ABSTRACT. With the aim of estimating the coefficient of heritability of average annual productivity of Nellore cows (COWPROD), a data set from 24,855 animals with known pedigree was analyzed. COWPROD is defined as the amount (in kilograms) of weaned calves produced yearly by one cow during her remaining time in herd ignoring a fixed period of 365 days. COWPROD was calculated regarding three standards: a) based on the post-weaning weight from the calves ignoring any kind of adjustment (COWPROD_NAJ), b) adjusted weight for the fixed effects (COWPROD_ AJFIX) and c) adjusted weight for the fixed effects and for the genetic merit of the sire (COWPROD_AJFIN). The obtained heritabilities were 0.15, 0.15 and 0.16 for COWPROD_NAJ, COWPROD_AJFIX and COWPROD_ AJFIN, respectively. A complete set composed of 105,158 COWPROD records on 130,740 animals in pedigree was also analyzed for predicting the genetic merit of all animals in the data set and for the calculation of the genetic, phenotypic and residual trends. Ranking correlation was high for the adjusted and non-adjusted data, yet, for some of the animals, the difference among the genetic values was large. This would be an indication that it would be better to work always with the adjusted weaning weights. The genetic trend was positive, but was of small magnitude (0.26% of the trait average) and the residual trend was negative as a consequence of the large intensification of the production system, which has been occurring in the last years in the farms studied. The phenotypic trend was also negative and intermediate between the genetic and the residual ones. Key words: Beef cattle; Productive efficiency; Heritability; Selection; Genetic trend
2 Genetic analysis of average annual productivity of Nellore 235 Introduction In any beef cattle production system, the search is for profitable economic performance or, in other words, productive efficiency. Reproduction is one of the important components for productive efficiency, but the number of kilograms of weaned calves is the main factor of concern. In Nellore breeding, the reproductive processes are deeply related to the heifer sexual precocity and to the fertility of the adult female. Some studies have shown that the sexual precocity of the Nellore breed can be genetically improved by selecting sires based on their genetic merit regarding scrotal circumference (Brinks et al., 1978; Smith et al., 1989; Eler et al., 1996) and in a more efficient way, by the genetic merit of sires regarding the probability of pregnancy of the young female (Eler et al., 2002, 2004; Silva et al., 2005). The age of first calving as a selection criterion, however, depends significantly on the age that those females are first exposed to the reproductive process (Pereira et al., 2001a,b, 2002, 2006). Using survival analysis, Pereira et al. (2006) obtained a high heritability estimate for age of first conception for heifers that have been exposed to reproductive processes aged around 14 months. The stayability in the livestock for at least 6 years (Silva et al., 2003, 2006; Van Melis et al., 2007) has been reported as a feature related to the fertility of the adult female. In general, the reproductive management of beef cattle is based on the culling of females which do not calve in the breeding season or of those that wean a very light calf. Thus, this trait is related to sexual precocity, fertility and calf post-weaning weight gain. The weaning weight in turn is directly affected by the calf s genotype and indirectly by that of the dam. The dams mothers show a genetic variability for milk production and maternal ability, which results in differentiated maternal environments for the calves aside from their direct additive genetic contribution. Lôbo (1996) proposed the use of an index called accumulated productivity (PAC) for evaluating herd productivity. This index takes into account the total amount of weaned calves (in kg) and the total length of time for its production. For evaluating productive efficiency, PAC could be a more adequate index than stayability in the livestock, as it allows the inclusion of the young females that have only one calf, enabling the prediction of the genetic merit for younger bulls. Schwengber et al. (2001) report a heritability estimate of 0.15 for that trait. Heritability could be of a sufficient magnitude for the use of PAC as criterion for bull selection, regarding reproductive efficiency, replacing in this case stayability. In the model proposed by Lôbo (1996), the equation for the calculation of cow productivity has considered, as its target, first calving at 30 months of age. In the population analyzed in this study, the exposure of heifers to bulls at 14 months of age has been taking place since 1995, and this allows the choice of the goal for first calving at the age of 24 months. The designation of this trait has also been chosen as average annual productivity (COWPROD), taking into account that the cow phenotype is considered as a yearly average of calf production instead of being just a sum of the weights. The objectives of the present study were: a) to propose a change in the denominator of the equation for assessing COWPROD, considering that what had been assessed before is being assessed at this moment through the use of a new equation yielding the average annual production of each cow instead of its accumulated production, and b) to estimate heritability of the average annual production and to calculate the genetic, phenotypic and residual trends for this trait in a large population of Nellore cattle. Material and Methods The data used in this research came from the files of Agro-Pecuária CFM Ltda., cattle breed-
3 J.P. Eler et al. 236 ing company located in Southeastern and Central-Western Brazil. Calves had been raised on pastures, receiving mineral supplementation throughout the year. From 1984, that is, the start of data recording, until 1995, the heifers were first exposed to breeding at the age of approximately 24 months. From 1995/1996, the heifers started to be first exposed to reproduction at the age of 14 months. The heifers that did not conceive at this first exposure were given another chance at the age of 24 months. A short breeding season of 60 days for cows and 90 days for heifers has always been adopted. The initial data set included 460,873 calves with post-weaning weights and born between 1984 and 2005 in the states of São Paulo, Mato Grosso do Sul and Goiás. The calves, 392,085 Nellore and 68,788 crossbred, were from 175,514 Nellore cows born between 1980 and From the total number, 299,517 calves had unknown sires or they were born from multiple sire groups which were also studied as coming from unknown sires, and 161,356 were generated by 1377 bulls. The calves were distributed into 9499 contemporary groups. Initially, an attempt was made to derive the adjusted weight directly from a GLM analysis using the Proc Mixed of SAS (1995), in a model that included the contemporary group, age at weaning, Julian date of birth, age of dam, and percentage of Nellore breed as fixed effects and sire of calf as random effect. However, this analysis could not be done because of excessive RAM demand. In this case, a BLUP analysis was adopted to predict breeding value for using an animal model that included the above mentioned fixed effects, the additive direct and maternal genetic effects, besides the permanent environment of the cow and residual effects as random. The Animal Breeders Tool Kit (Golden et al., 1995) software was used for processing the data which provided both the prediction of the expected progeny difference (EPD) and the solutions for the fixed effects. The post-weaning weight of the calves was adjusted for the fixed effects and for their sires EPD, using previously obtained solutions. A file for the cows was created that included, for each cow, the COWPROD, calculated based on the average of post-weaning weights of calves. In creating this file, only the cows that had first calved by the age of 42 months were included, which means the ones that had had their calving record controlled since the start of their reproductive lives. For this analysis, three different productivities were studied: a) COWPROD_NAJ which was assessed based on the weaning weight without any adjustment; COWPROD_ AJFIX which was assessed based on the weaning weight adjusted to the fixed effects (contemporary group, age of the calf at weaning, Julian date of birth, age class of dam, and Nellore percentage), and COWPROD_AJFIN, assessed based on the weaning weight adjusted to the fixed effects mentioned above and also for the sire s EPD. COWPROD was calculated by the equation: where COWPROD i = average annual productivity for the i th cow; = sum of the weaning weight of all the calves from each cow. For assessing the COWPROD_NAJ, WW ij is the non-adjusted weaning weight of the j th calf from the i th cow. For assessing the COWPROD_ AJFIX or the COWPROD_AJFIN, WW ij corresponds to the adjusted weaning weight; AC n = age of the cow at its last calving. The 365 value in the numerator of the equation refers to an annual production base and the 365 one in the denominator refers to the calving goal at 24 months and starts in reproduction aged 12 months. Using the above equation, COWPROD can be defined as the amount, in kilograms, of weaned calves produced yearly by a cow during its remaining time in the
4 Genetic analysis of average annual productivity of Nellore 237 herd, ignoring a fixed period of 365 days. This period is in regard to the minimum age for a heifer to start its reproductive life. After discarding the observations in the contemporary groups consisting of less than five cows, the composed file count of 105,158 cows were distributed into 273 contemporary groups which were formed by the concatenation of farm + birth year of the cow. Of the total number of the cows, 80,289 of them originated from multiple sires or from really unknown sires, and 24,868 originated from 788 bulls. There were 57,367 dams of cows. For the estimation of genetic parameters, a file of known sires was used, which, after eliminating the animals in contemporary groups with less than five individuals, counts of 24,855 cows were distributed into 107 contemporary groups. These cows originated from 787 bulls and 17,741 cows. The pedigree included all the known ancestors and totaled 48,668 animals. The genetic and residual variance components were estimated by restricted maximum likelihood through the use of the MTDFREML software (Boldman et al., 1995), according to an animal model which included the contemporary group as a fixed effect besides the direct genetic and residual effects as random. For genetic prediction, the model described above was also adopted, yet the genetic values concerned up to 130,740 animals. These refer to the pedigree from the whole file, counting 105,158 observations. The genetic merit of the animals for COWPROD was also expressed as EPD, corresponding to half of the predicted genetic value. Genetic trends were calculated by the regression of the genetic values of the animals on their birth year. The phenotypic trend tendency was assessed by the regression of the phenotypic values (COWPROD) on the birth year. The environmental (residual) trend was calculated by the regression of the solutions for the contemporary groups weighted by the number of observations in each group on the birth year of the individuals. In this study, of the group of cows born in 2003, only those that had precociously calved (less than 30 months old) were analyzed. For the remaining cows, we did not yet have their calf s weaning weight (calves to be born in 2006). The cows born in the year 2003 were a selected group and consequently showed a high value of COWPROD, and thus their average does not rightly represent the year That is why these cows were dropped from the figures and the trends calculated up to the year Results and Discussion The means and standard deviations of the average annual productivity were ± 30.0, ± 26.6 and ± 32.0 kg of weaned calves per cow per year for the COWPROD_NAJ, COWPROD_AJFIX and COWPROD_AJFIN, respectively. The averages in this study were lower than those of Rosa (1999) who reported averages of 144 kg and those of Schwengber et al. (2001) who reported a mean of 135 kg. However, the change in the denominator of the equation is emphasized in this study. Performing the calculation of the COWPROD based on Lôbo s equation (1996), used by Schwengber et al. (2001), the average would be ± 34.2, ± 29.4 and ± 29.0 kg, for COWPROD_NAJ, COWPROD_AJFIX and COWPROD_AJFIN, respectively. Considering only the cows with known sires, the means and their standard deviations obtained in this study were ± 26.9, ± 26.3 and ± 32.2 kg of weaned calves per cow per year for the COWPROD_NAJ, COWPROD_AJFIX and COWPROD_ AJFIN, respectively. The variance components and heritability estimation for the average annual productivity are shown in Table 1.
5 J.P. Eler et al. 238 Table 1. Estimation of the additive genetic (σ 2 ), residual a (σ2 ) and phenotypic e (σ2 ) variances and estimation of p heritability (h 2 ) of average annual productivity (COWPROD) in Nellore cattle. Trait σ 2 a σ2 e σ2 p h2 COWPROD _NAJ COWPROD _AJFIX COWPROD _AJFIN For other abbreviations, see legend to Figure 1. Besides being very close to each other (0.15, 0.15 and 0.16 for the COWPROD_NAJ, COWPROD_AJFIX and COWPROD_AJFIN), the heritability estimates also agreed with the results published by Rosa (1999) and by Schwengber et al. (2001) who reported values of 0.19 and 0.15, respectively. Baldi et al. (2008) have also reported a heritability value of 0.15 for the amount, in kg, of weaned calves per year of stayability of the cow in the herd. The average annual productivity shown by the amount (in kg) of weaned calves per year of stayability in the herd (COWPROD) is a function of the weight of the weaned calves and of the total number of calves produced during the permanence of a cow in the population. Thus, the sexual precocity and the length of the life of a cow are determinant factors for the increase in COWPROD. The values in Table 1 indicate that the response to the direct selection for this trait will be small. Nevertheless, these values of heritability allow the differentiation of bulls that produce daughters with a high or a low COWPROD; in other words, it would be possible to obtain considerable genetic gain from bull selection. The highest value for estimates of heritability for COWPROD_AJFIN indicates that the use of adjusted weights when calculating COWPROD should be indicated for sire selection. On the other hand, even though heritability values for COWPROD are not high, they are similar to those obtained for stayability in the same population (Van Melis et al., 2007). COWPROD can, however, be better than the stayability as a selection criterion for reproductive efficiency, because it allows the prediction of the genetic merit for the young cows and consequently the identification of the best young sires. The maximal and minimum values for the EPD of average annual production of cows and the rank correlation values are shown in Tables 2 and 3, respectively. Table 2. Minimum and maximal value for the expected progeny difference of average annual productivity (COWPROD). Trait Minimum Maximal COWPROD_NAJ COWPROD_AJFIX COWPROD_AJFIN For other abbreviations, see legend to Figure 1. Table 3. Rank correlation among the traits COWPROD_NAJ, COWPROD_AJFIX and COWPROD_AJFIN in Nellore cattle, assessed for all the animals and for only the bulls. Trait All animals Bulls COWPROD_AJFIX COWPROD_AJFIN COWPROD_AJFIX COWPROD_AJFIN COWPROD_NAJ COWPROD_AJFIX For other abbreviations, see legend to Figure 1.
6 Genetic analysis of average annual productivity of Nellore 239 The high values for the correlations allow the conclusion that the COWPROD could be calculated based on the weaning weights of the calves without any adjustment, which would make the processing of the genetic evaluation easier. However, some differences of up to 5 kg between the adjusted and non-adjusted EPD were observed, corresponding to more than 30% of the maximal value for the trait. The larger differences were related to the cows with just few calves and, mainly, when the differences between the COWPROD values assessed based on the adjusted and non-adjusted weight occur in the opposite direction of the average differences in the contemporary group. Regarding the bulls, the ranking changes are really small. As for the cows, more important changes can be observed. These results indicate the direction that the assessment of the COWPROD should be done based on adjusted weights. The genetic, phenotypic and residual trends can be viewed in Figures 1, 2 and 3. The genetic trend regarding the population of this study was low yet positive (around 0.26% of the average of the trait) from the year 1993 to 2002 (Figure 1). The values were similar for the adjusted and non-adjusted COWPROD ones. PODVAC is a complex trait which actually involves a set of other traits such as sexual precocity, fertility, longevity, and growth. There had not been for this population any direct selection for COWPROD, yet a selection for precocity and for pre-weaning performance is taking place, as shown by the selection index used (CFM, 2006, pg. 4), which was not totally reflected in the genetic improvements for the average annual production. Figure 1. Observed genetic trend for the average annual productivity (COWPROD) calculated based on the nonadjusted weaning weight of the calves (COWPROD_NAJ), adjusted for the fixed effects (COWPROD_AJFIX) and adjusted for the fixed effects and for the sire s genetic merit (COWPROD_AJFIN).
7 J.P. Eler et al. 240 The environmental trend (Figure 2) was negative and of large magnitude (around 2.9% of the average). With a fast reading, these effects could be confounded by the degradation of the pastures and some other restrictive factors in the production system. A more cautious analysis, however, points to the intensification of the system which has proved to be happening in the last few years, mainly from the year Figure 2. Observed environmental (residual) trend for the average annual productivity (COWPROD) calculated based on the non-adjusted weaning weight of the calves (COWPROD_NAJ), adjusted for the fixed effects (COWPROD_AJFIX) and adjusted for the fixed effects and for the sire s genetic merit (COWPROD_AJFIN). CG = contemporary group. Trying to turn livestock into a competitive activity in comparison to the production of sugar cane on the high-valued lands of São Paulo State, the production systems have been intensified and the population capacity of the pastures has been drastically increased from 2 au/ha to at least 6 au/ha. The production per area unit has been increased as expected, but the individual animal performance has decreased in relation to the historical average, due to some intrinsic factors which have not yet been totally identified. Negative environmental trends were also verified in the performance and sexual precocity traits as a consequence of the large intensification of the production system (Eler et al., 2005). The phenotypic trend (Figure 3) was also negative and of large magnitude (around 2.2% of the trait average). The reduction of the phenotypic trend was consistent with the result of the environmental (residual) trend, showing intermediate values between the genetic and the environmental trends.
8 Genetic analysis of average annual productivity of Nellore 241 Figure 3. Observed phenotypic trend for the average annual productivity (COWPROD) calculated based on the non-adjusted weaning weight of the calves (COWPROD_NAJ), adjusted for the fixed effects (COWPROD_AJFIX) and adjusted for the fixed effects and for the sire s genetic merit (COWPROD_AJFIN). Conclusions The results of this study allow the conclusion that the average annual productivity (kg) of weaned calves (COWPROD), a trait of the cow, shows a moderate heritability and, consequently, a little response to selection. The selection of bulls that have a high number of progenies may, however, have an impact on the response to selection. Even though the ranking correlation was considered high, COWPROD calculated based on adjusted weights seems to be more adequate, taking into account that some of the animals show significant differences between the adjusted and non-adjusted values. The average genetic trend from 1993 to 2002 was small, but a selection had been performed for the traits that compose the average annual productivity, such as weaning weight and sexual precocity. This suggests that the COWPROD data should be analyzed together with the stayability ones for assessing the correlation between the traits. Even if the correlation is high, COWPROD would be a more adequate selection criterion for including also younger animals in the evaluation.
9 J.P. Eler et al. 242 ACKNOWLEDGMENTS The authors acknowledge financial support from Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Agro-Pecuária CFM Ltda. REFERENCES Baldi F, Alencar MM and Freitas AR (2008). Correlações genéticas de características de tamanho corporal e condição corporal com características de eficiência produtiva de fêmeas da raça Canchim. Rev. Bras. Zootec. 37 (in press). Boldman KG, Kriese LA, Van Vleck LD, Van Tassel CP, et al. (1995). A manual for use of MTDFREML. A set of programs to obtain estimates of variance and covariance. ARS-USDA, Lincoln. Brinks JS, McInerney MJ and Chenoweth PJ (1978). Relationship of age at puberty in heifers to reproductive traits in young bull. Proc. West. Sect. Am. Soc. Anim. Sci. 29: CFM 2006 (2006). Sumário de Touros Nelore CFM Agro-Pecuária CFM Ltda., São José do Rio Preto. Eler JP, Ferraz JB and Silva PR (1996). Parâmetros genéticos para peso, avaliação visual e circunferência escrotal na raça Nelore, estimado por modelo animal. Arq. Bras. Med. Vet. Zootec. 48: Eler JP, Silva JA, Ferraz JB, Dias F, et al. (2002). Genetic evaluation of the probability of pregnancy at 14 months for Nellore heifers. J. Anim. Sci. 80: Eler JP, Silva JA, Evans JL, Ferraz JB, et al. (2004). Additive genetic relationships between heifer pregnancy and scrotal circumference in Nellore cattle. J. Anim. Sci. 82: Eler JP, Balieiro JCC, Ferraz JBS and Mattos EC (2005). Estimativas de Tendências Genéticas e dos Componentes Ambientais em Bovinos da Raça Nelore no Brasil. In: Anais da XIX Reunião da Associação Latinoamericana de Produção Animal (ALPA), BIOTAM, Tampico, Golden BL, Snelling WM and Mallinckrodt CH (1995). Animal Breeder s Tool Kit 2.0. User s guide reference manual. TK3/TLBLUP, Tech, Bulletin LTB92-2. Department of Animal Sciences, Colorado State University, Fort Collins. Lôbo RB (1996). Programa de Melhoramento Genético da Raça Nellore. 3ª ed. Finep, Ribeirão Preto. Pereira E, Eler JP and Ferraz JBS (2001a). Análise genética de algumas características reprodutivas e suas relações com o desempenho ponderal na raça Nelore. Arq. Bras. Med. Vet. Zootec. 53: Pereira E, Eler JP, Costa FAA and Ferraz JBS (2001b). Análise genética da idade ao primeiro parto e do perímetro escrotal em bovinos da raça Nelore. Arq. Bras. Med. Vet. Zootec. 53: Pereira E, Eler JP and Ferraz JBS (2002). Análise genética de características reprodutivas na raça Nelore. Pesq. Agropec. Bras. 37: Pereira E, de Oliveira HN, Eler JP, Silva JA, et al. (2006). Use of survival analysis as a tool for the genetic improvement of age at first conception in Nellore cattle. J. Anim. Breed. Genet. 123: Rosa AN (1999). Variabilidade fenotípica e genética do peso adulto e da produtividade acumulada de matrizes em rebanhos de seleção da raça Nelore no Brasil. Doctoral thesis, Faculdade de Medicina de Ribeirão Preto, USP, Ribeirão Preto. SAS Institute Inc. (1995). User s guide for windows environment. SAS Institute Inc., Cary. Schwengber EB, Bezerra LAF and Lôbo RB (2001). Produtividade acumulada como critério de seleção em fêmeas da raça Nelore. Cienc. Rural 31: Silva JA II V, Eler JP, Ferraz JBS, Golden BL, et al. (2003). Heritability estimate for stayability in Nelore cows. Livest. Prod. Sci. 79: Silva JA II V, Dias LT and Albuquerque LG (2005). Estudo genético da precocidade sexual de novilhas em um rebanho Nelore. Rev. Bras. Zootec. 34: Silva JA II V, Formigoni I, Eler JP and Ferraz JBS (2006). Genetic relationship among stayability, scrotal circumference and post-weaning weight in Nellore cattle. Livest. Prod. Sci. 99: Smith BA, Brinks JS and Richardson GV (1989). Relationships of sire scrotal circumference to offspring reproduction and growth. J. Anim. Sci. 67: Van Melis MH, Eler JP, Oliveira HN, Rosa GJ, et al. (2007). Study of stayability in Nellore cows using a threshold model. J. Anim. Sci. 85:
Genetic analyses of days to calving and their relationships with other traits in a Canchim cattle herd
Research Article Genetics and Molecular Biology, 30, 4, 1070-1076 (007) Copyright by the Brazilian Society of Genetics. Printed in Brazil www.sbg.org.br Genetic analyses of days to calving and their relationships
More informationImplementation of DNA Markers to Produce Genomically - Enhanced EPDs in Nellore Cattle
Acta Scientiae Veterinariae, 2011. 39(Suppl 1): s23 - s27. ISSN 1679-9216 (Online) Implementation of DNA Markers to Produce Genomically - Enhanced EPDs in Nellore Cattle Raysildo Barbosa Lôbo 1, Donald
More informationEvaluation of mature cow weight: Genetic correlations with traits used in selection indices, correlated responses, and genetic trends in Nelore cattle
Published December 3, 2014 Evaluation of mature cow weight: Genetic correlations with traits used in selection indices, correlated responses, and genetic trends in Nelore cattle A. A. Boligon,* 1 R. Carvalheiro,
More informationComparison of bivariate and multivariate joint analyses on the selection loss of beef cattle
Comparison of bivariate and multivariate joint analyses on the selection loss of beef cattle V.B. Pedrosa 1, E. Groeneveld 2, J.P. Eler 3 and J.B.S. Ferraz 3 1 Laboratório de Estudos em Melhoramento Animal,
More informationThe influence of animals from embryo transfer on the genetic evaluation of growth in Simmental beef cattle by using multi-trait models
Research Article Genetics and Molecular Biology, 36, 1, 43-49 (2013) Copyright 2013, Sociedade Brasileira de Genética. Printed in Brazil www.sbg.org.br The influence of animals from embryo transfer on
More informationRandom regression models in the evaluation of the growth curve of Simbrasil beef cattle
Random regression models in the evaluation of the growth curve of Simbrasil beef cattle R.R. Mota 1, L.F.A. Marques 2, P.S. Lopes 1, L.P. da Silva 1, A.M. Hidalgo 3, C.D.S. Leite 1 and R.A. Torres 1 1
More informationEPD Info 1/5. Guide to the American Gelbvieh Association Expected Progeny Differences (EPDs)
EPD Info gelbvieh.org/genetic-technology/epd-info/ Guide to the American Gelbvieh Association Expected Progeny Differences (EPDs) Expected progeny differences (EPDs) can be used to predict the average
More informationCanadian Hereford Association
Canadian Hereford Association Pan American Hereford Cattle Evaluation Fall 2017 EPD Averages, Tools and Trends Includes: Introduction to Genomically Enhanced EPD Post-Weaning Gain EPD Residual Feed Intake
More informationGenetic association of growth traits with carcass and meat traits in Nellore cattle
Genetic association of growth traits with carcass and meat traits in Nellore cattle R.L. Tonussi 1, R. Espigolan 1, D.G.M. Gordo 1, A.F.B. Magalhães 1, G.C. Venturini 1, F. Baldi 1, H.N. de Oliveira 1,
More informationP. C. Andrade*, D. A. Grossi*, C. C. P. Paz, M. M. Alencar, L. C. A. Regitano and D. P. Munari* Summary. Introduction
doi:10.1111/j.1365-2052.2008.01755.x Association of an insulin-like growth factor 1 gene microsatellite with phenotypic variation and estimated breeding values of growth traits in Canchim cattle P. C.
More informationEFFICIENCY OF THE COW HERD: BULL SELECTION AND GENETICS
EFFICIENCY OF THE COW HERD: BULL SELECTION AND GENETICS Oregon State University/Beef Industry Tour Corvallis, Oregon Thursday, October 25, 2018 Overview Introduction/importance of sire selection Selection
More informationAlison Van Eenennaam, Ph.D.
The Value of Accuracy Alison Van Eenennaam, Ph.D. Cooperative Extension Specialist Animal Biotechnology and Genomics University of California, Davis alvaneenennaam@ucdavis.edu (530) 752-7942 animalscience.ucdavis.edu/animalbiotech
More informationGoal Oriented Use of Genetic Prediction
Goal Oriented Use of Genetic Prediction Mark Johnson Inheritance of Quantitative Traits P = G + E Phenotype = Genotype + Environment Genotype Additive due to individual genes Non-additive due to combinations
More informationAssociations among growth, scrotal circumference, and visual score of beef cattle in performance tests on pasture or in feedlots
Revista Brasileira de Zootecnia Brazilian Journal of Animal Science 2017 Sociedade Brasileira de Zootecnia ISSN 1806-9290 www.sbz.org.br Associations among growth, scrotal circumference, and visual score
More informationBeef Production and the Brahman-Influenced Cow in the Southeast
Beef Production and the Brahman-Influenced Cow in the Southeast J. W. Turner Department of Animal Science Texas A&M University The importance of the brood cow to efficient beef production is often overlooked
More informationMa# Spangler Sept. 8, 2016
Relative Economic Weights for Traditional Beef Firm Reproduction:Growth:End Product 10:5:1 Traditional genetic selection for fertility: indicator traits and potential antagonisms Matt Spangler University
More informationAGE OF COW AND AGE OF DAM EFFECTS ON MILK PRODUCTION OF HEREFORD COWS 1. ABSTRACt"
AGE OF COW AND AGE OF DAM EFFECTS ON MILK PRODUCTION OF HEREFORD COWS 1 D. L. Lubritz 2, K. Forrest 2 and O. W. Robison 2 North Carolina State University, Raleigh 27695-7621 ABSTRACt" Milk production in
More informationUnderstanding EPDs and Accuracies
Understanding EPDs and Accuracies Expected Progeny Differences (EPDs) Expected Progeny Differences (EPDs) are used to compare the genetic merit of animals in various traits. An EPD predicts the difference
More informationEFFECT OF HEIFER CALVING DATE ON LONGEVITY AND LIFETIME PRODUCTIVITY. Introduction
Proceedings, Applied Reproductive Strategies in Beef Cattle December 3-4. 2012, Sioux Falls, SD EFFECT OF HEIFER CALVING DATE ON LONGEVITY AND LIFETIME PRODUCTIVITY E.M. Mousel 1, R.A. Cushman 2, G.A.
More informationOptimizing Traditional and Marker Assisted Evaluation in Beef Cattle
Optimizing Traditional and Marker Assisted Evaluation in Beef Cattle D. H. Denny Crews, Jr., 1,2,3 Stephen S. Moore, 2 and R. Mark Enns 3 1 Agriculture and Agri-Food Canada Research Centre, Lethbridge,
More informationREALISED RESPONSES TO DIVERGENT SELECTION FOR YEARLING GROWTH RATE IN ANGUS CATTLE
REALISED RESPONSES TO DIVERGENT SELECTION FOR YEARLING GROWTH RATE IN ANGUS CATTLE P.F. PARNELL1, R. BARLOW2, and B. TIER3, AUSTRALIA 1 Agricultural Research Centre, Trangie, NSW, 2 Agricultural Research
More informationEstimation of genetic parameters for growth traits in Brangus cattle
South African Journal of Animal Science 2012, 42 (Issue 5, Supplement 1) Peer-reviewed paper: Proc. 44 th Congress of the South African Society for Animal Science Estimation of genetic parameters for growth
More informationStatus as of: 01 February 2008 DESCRIPTION OF BEEF NATIONAL GENETIC EVALUATION SYSTEM DATA COLLECTION
Status as of: 01 February 2008 Form BEEF DESCRIPTION OF BEEF NATIONAL GENETIC EVALUATION SYSTEM Country (or countries) Denmark Trait name: Weaning weight Breed(s) Trait definition Method and frequency
More information11/30/2018. Introduction to Genomic Selection OUTLINE. 1. What is different between pedigree based and genomic selection? 2.
Introduction to Genomic Selection imagefriend.com OUTLINE 1. What is different between pedigree based and genomic selection? 2. Selection tools - Selection Indexes - Genotyping resources 3. DNA-based markers
More informationEffect of lactation length adjustment procedures on genetic parameter estimates for buffalo milk yield
Research Article Genetics and Molecular Biology, 34, 1, 62-67 (2011) Copyright 2011, Sociedade Brasileira de Genética. Printed in Brazil www.sbg.org.br Effect of lactation length adjustment procedures
More informationUsing Genomics to Affect Cow Herd Reproduction
Using Genomics to Affect Cow Herd Reproduction Matt Spangler, Extension Beef Genetics Specialist 1 1 Animal Science, University of Nebraska-Lincoln, Lincoln, NE Introduction It should be common knowledge
More information2015 Producer Survey Results
2015 Producer Survey Results 2015 CSA Survey Responders by Province 11% 4% 6% 17% 15% 47% 53 Surveys Returned BC 3 AB 25 SK 8 MB 9 ON 6 Maritimes 2 BC AB SK MB ON Maritimes Percentage 35 1) How many cows
More informationTECHNICAL BULLETIN GENEMAX ADVANTAGE IS DESIGNED FOR COMMERCIAL BEEF HERDS. August Zoetis Genetics 333 Portage Street Kalamazoo, MI
TECHNICAL BULLETIN August 2016 GENEMAX ADVANTAGE IS DESIGNED FOR COMMERCIAL BEEF HERDS Zoetis Genetics 333 Portage Street Kalamazoo, MI 49007-4931 KEY POINTS GeneMax Advantage is a genomic test for commercial
More informationTECHNICAL BULLETIN GENEMAX ADVANTAGE IS DESIGNED FOR COMMERCIAL BEEF HERDS. August Zoetis Genetics 333 Portage Street Kalamazoo, MI
TECHNICAL BULLETIN August 2016 GENEMAX ADVANTAGE IS DESIGNED FOR COMMERCIAL BEEF HERDS Zoetis Genetics 333 Portage Street Kalamazoo, MI 49007-4931 KEY POINTS GeneMax Advantage is a genomic test for commercial
More informationCrossbreeding for the Commercial Beef Producer Alison Van Eenennaam, University of California, Davis
2017-2 Crossbreeding for the Commercial Beef Producer Alison Van Eenennaam, University of California, Davis alvaneenennaam@ucdavis.edu Dr. Darrh Bullock Dr. Jared Decker Dr. Megan Rolf Dr. Matthew Spangler
More informationINVESTIGATION INTO GENETIC PARAMETERS FOR FEEDLOT TRAITS OF TWO CATTLE BREEDS IN SOUTH AFRICA
INVESTIGATION INTO GENETIC PARAMETERS FOR FEEDLOT TRAITS OF TWO CATTLE BREEDS IN SOUTH AFRICA J. Hendriks,2, M.M. Scholtz,2, J.B. van Wyk 2 & F.W.C Neser 2 ARC-Animal Production Institute, Private Bag
More informationIMPACT OF SEED STOCK SELECTION ON THE ECONOMICS OF A COW-CALF OPERATION
IMPACT OF SEED STOCK SELECTION ON THE ECONOMICS OF A COW-CALF OPERATION Timothy D. Hewitt and John Holt North Florida Research and Education Center University of Florida, Marianna; and Food and Resource
More informationTest-day milk yield as a selection criterion for dairy buffaloes (Bubalus bubalis Artiodactyla, Bovidae)
Research Article Genetics and Molecular Biology, 31, 3, 674-679 (008) Copyright 008, Sociedade Brasileira de Genética. Printed in Brazil www.sbg.org.br Test-day milk yield as a selection criterion for
More information1999 American Agricultural Economics Association Annual Meeting
Producer Prediction of Optimal Sire Characteristics Impacting Farm Profitibility In a Stochastic Bio-Economic Decision Framework William Herring, and Vern Pierce 1 Copyright 1999 by Vern Pierce. All rights
More informationUnderstanding and Applying Economically Relevant Traits (ERT) and Indices for the Commercial Cattle Rancher
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Range Beef Cow Symposium Animal Science Department 2013 Understanding and Applying Economically Relevant Traits (ERT) and
More informationGENETIC PARAMETERS FOR CALVING RATE AND AGE AT FIRST CALVING IN HEREFORD HEIFERS BRANDON LAKEITH CALLIS B.S., TEXAS A&M UNIVERSITY, 2005 A THESIS
GENETIC PARAMETERS FOR CALVING RATE AND AGE AT FIRST CALVING IN HEREFORD HEIFERS by BRANDON LAKEITH CALLIS B.S., TEXAS A&M UNIVERSITY, 2005 A THESIS Submitted in partial fulfillment of the requirements
More informationUnderstanding and Using Expected Progeny Differences (EPDs)
Agriculture and Natural Resources FSA3068 Understanding and Using Expected Progeny Differences (EPDs) Brett Barham Associate Professor Animal Science Arkansas Is Our Campus Visit our web site at: http://www.uaex.edu
More informationGenetic associations between carcass traits measured by real-time ultrasound and scrotal circumference and growth traits in Nelore cattle
Genetic associations between carcass traits measured by real-time ultrasound and scrotal circumference and growth traits in Nelore cattle M. J. Yokoo, R. B. Lobo, F. R. C. Araujo, L. A. F. Bezerra, R.
More informationGenomic-Polygenic and Polygenic Evaluation of Multibreed Angus-Brahman Cattle for Direct and Maternal Growth Traits Under Subtropical Conditions
Genomic-Polygenic and Polygenic Evaluation of Multibreed Angus-Brahman Cattle for Direct and Maternal Growth Traits Under Subtropical Conditions M. A. Elzo 1, M. G. Thomas 2, D. D. Johnson 1, C. A. Martinez
More informationUSING GENOMICS TO AFFECT COW HERD REPRODUCTION. Matt Spangler University of Nebraska-Lincoln
USING GENOMICS TO AFFECT COW HERD REPRODUCTION Matt Spangler University of Nebraska-Lincoln Relative Economic Weights for Traditional Beef Firm Reproduction:Growth:End Product 10:5:1 (Melton, 1995) Improvement
More informationStrategy for Applying Genome-Wide Selection in Dairy Cattle
Strategy for Applying Genome-Wide Selection in Dairy Cattle L. R. Schaeffer Centre for Genetic Improvement of Livestock Department of Animal & Poultry Science University of Guelph, Guelph, ON, Canada N1G
More informationEconomic Weighting of Traits
Economic Weighting of Traits 1 Introduction The breeding objective in any livestock species is to improve the overall economic merit of the animals. Many traits contribute to the Total Economic Value of
More informationMike Davis, The Ohio State University 6/19/14
2014 Beef Improvement Federation Meeting! The optimum beef cow is indeed an elusive beast. I have searched for her for more than 20 years, and have come up empty handed. But I believe I m getting close.!
More informationHeteroskedasticity for weaning weight of Charolais-Zebu crossbred calves 1
Revista Brasileira de Zootecnia 2012 Sociedade Brasileira de Zootecnia ISSN 1806-9290 www.sbz.org.br Heteroskedasticity for weaning weight of Charolais-Zebu crossbred calves 1 Fábio Luiz Buranelo Toral
More informationTraditional genetic selection for fertility: Indicator traits and potential antagonisms
2016 Applied Reproductive Strategies in Beef Cattle Des Moines, Iowa September 7-8, 2016 229 Traditional genetic selection for fertility: Indicator traits and potential antagonisms Matt Spangler, University
More informationRELATIONSHIPS AMONG UDDER SHAPE, UDDER CAPACITY, COW LONGEVITY AND CALF WEIGHTS ~
RELATIONSHIPS AMONG UDDER SHAPE, UDDER CAPACITY, COW LONGEVITY AND CALF WEIGHTS ~ R. S. Kersey DeNise 2, D. E. Ray 2, A. M. Lane 2, V. L. Rundle 3 and M. Torabi 2 University of Arizona Tucson 85721 ABSTRACT
More informationUnderstanding Expected Progeny Differences (EPDs) Scott P. Greiner, Extension Animal Scientist, Virginia Tech
publication 400-804 Understanding Expected Progeny Differences (EPDs) Scott P. Greiner, Extension Animal Scientist, Virginia Tech Expected progeny differences (EPDs) provide estimates of the genetic value
More informationProceedings, The Range Beef Cow Symposium XXIII December 3, 4 and 5, 2013 Rapid City, South Dakota
Proceedings, The Range Beef Cow Symposium XXIII December 3, 4 and 5, 2013 Rapid City, South Dakota Understanding and Applying Economically Relevant Traits (ERT) and Indices for the Commercial Cattle Rancher
More informationEvidence of genetic variability in cattle health traits: Opportunities for improvement
Evidence of genetic variability in cattle health traits: Opportunities for improvement R. Mark Enns; Brian W. Brigham, Chase M. McAllister; and Scott E. Speidel Department of Animal Sciences, Colorado
More informationBreeding Objectives Indicate Value of Genomics for Beef Cattle M. D. MacNeil, Delta G
Breeding Objectives Indicate Value of Genomics for Beef Cattle M. D. MacNeil, Delta G Introduction A well-defined breeding objective provides commercial producers a mechanism for extracting value from
More informationMOOTOPIA: AN ANIMAL BREEDERS WISH LIST FOR THE BEEF INDUSTRY. Matt Spangler University of Nebraska-Lincoln
MOOTOPIA: AN ANIMAL BREEDERS WISH LIST FOR THE BEEF INDUSTRY Matt Spangler University of Nebraska-Lincoln THE THINGS YOU DO THAT DRIVE ME BSC ON A SCAFFOLD OF EDUCATIONAL MATERIAL A guy you might love
More informationCrossbreeding in Beef Cattle
W 471 Crossbreeding in Beef Cattle F. David Kirkpatrick, Professor Department of Animal Science Improving the productivity and efficiency of a commercial beef production operation through genetic methods
More informationIntroduction to Indexes
Introduction to Indexes Robert L. (Bob) Weaber, Ph.D. University of Missouri, Columbia, MO 65211 Why do we need indexes? The complications of multiple-trait selection and animal breeding decisions may
More informationWHETHER dealing with a commercial
Selecting, Producing, and Marketing Beef Cattle WHETHER dealing with a commercial cow-calf, purebred cow-calf, or feedlot operation, a beef producer needs to be capable of analyzing and selecting high-quality
More informationChanges to the Genetic Evaluation of Fertility in Irish Dairy Cattle
Changes to the Genetic Evaluation of Fertility in Irish Dairy Cattle Abstract K. Stachowicz 1, G.M. Jenkins 1, P.R. Amer 1, D.P. Berry 2, M.M. Kelleher 3, F.J. Kearney 3, R.D. Evans 3, and A.R. Cromie
More informationEvaluation of bull prolificacy on commercial beef cattle ranches using DNA paternity analysis 1,2
Published November 21, 2014 Evaluation of bull prolificacy on commercial beef cattle ranches using DNA paternity analysis 1,2 A. L. Van Eenennaam,* 3 K. L. Weber,* and D. J. Drake *Department of Animal
More informationStrategy for applying genome-wide selection in dairy cattle
J. Anim. Breed. Genet. ISSN 0931-2668 ORIGINAL ARTICLE Strategy for applying genome-wide selection in dairy cattle L.R. Schaeffer Department of Animal and Poultry Science, Centre for Genetic Improvement
More informationEffective Use Of EPDs. Presented to: Minnesota Beef Producers Presented by: Kris A. Ringwall, Ph. D. NDSU Extension Beef Specialist
Presented to: Minnesota Beef Producers Presented by: Kris A. Ringwall, Ph. D. NDSU Extension Beef Specialist February 10-11, 2016 2 Background EPDs have been available for more than 30 years. The use of
More informationGenetic trends in the performance and reproductive traits of pigs
Research Article Genetics and Molecular Biology, 28, 1, 97-102 (2005) Copyright by the Brazilian Society of Genetics. Printed in Brazil www.sbg.org.br Genetic trends in the performance and reproductive
More informationREPRODUCTION PERFORMANCE FOR COWS SIRED BY HIGH AND LOW MILK EPD ANGUS AND POLLED HEREFORD BULLS - A PRELIMINARY REPORT
REPRODUCTION PERFORMANCE FOR COWS SIRED BY HIGH AND LOW MILK EPD ANGUS AND POLLED HEREFORD BULLS - A PRELIMINARY REPORT D.S. Buchanan 1, R. Gosz 2, E. Nesamvuni 2 and L. Knori 3 Story in Brief Reproductive
More information29 th Annual BIC Bull Sale
One Bar Eleven Ranch John E. Rouse Beef Improvement Center 29 th Annual BIC Bull Sale Monday April 13 th, 12:30 p.m. Selling Approximately 50 Yearling Bulls One Bar Eleven Ranch John E. Rouse Beef Improvement
More informationCzech Agricultural University, Praha, Czech Republic. * Supported by the Ministry of Agriculture of the Czech Republic (Project No.
56 th Ann. Meeting EAAP 2005, Uppsala, Sweden Session code: G4.31 E-mail address of the author: pribyl.josef@vuzv.cz Value of traits in beef cattle breeding* Přibyl J. 1, Přibylová J. 1, Stádník L. 2,
More informationGenetic parameters and genetic trends for age at first calving and calving
Livestock Science, 2009. DOI: 10.1016/j.livsci.2009.07.009. 1 2 3 4 Genetic parameters and genetic trends for age at first calving and calving interval in an Angus-Blanco Orejinegro-Zebu multibreed cattle
More informationSelecting and Sourcing Replacement Heifers
Selecting and Sourcing Replacement Heifers 10 to 20% of a cowherd is replaced annually. Approximately 30% of weaned heifers are needed for replacement Additional heifers are needed for expansion Heifers
More informationTECHNICAL BULLETIN December 2017
TECHNICAL BULLETIN December 2017 MORE INFORMED COMMERCIAL ANGUS REPLACEMENT HEIFER DECISIONS WITH GENEMAX ADVANTAGE Zoetis Genetics Angus Genetics Inc. 333 Portage Street 3201 Frederick Avenue Kalamazoo,
More informationDAYS TO CALVING IN ARTIFICIALLY INSEMINATED CATTLE
DAYS TO CALVING IN ARTIFICIALLY INSEMINATED CATTLE D.L. Robinson and D.J. Johnston Animal Genetics and Breeding Unit 1, University of New England, Armidale, NSW 2351 SUMMARY Heritability and cow permanent
More informationCulling the Commercial Cow Herd: BIF Fact Sheet
1 of 6 10/26/2009 1:52 PM University of Missouri Extension G2036, Reviewed October 1993 Culling the Commercial Cow Herd: BIF Fact Sheet John Massey Department of Animal Sciences Beef cow owners should
More informationWe are in the bull business
Can Selection Indexes Improve Profitability? What Time Has Taught Us about Selecting for Profit Lee Leachman Leachman Cattle of Colorado December 14 th, 2013 We are in the bull business We select Angus,
More informationStatistical Indicators
Statistical Indicators E-42 Breeding value estimation for milk protein traits Introduction What really counts in the livestock industry is to breed a subsequent generation of cattle with a more profitable
More informationGenetic Analysis of Cow Survival in the Israeli Dairy Cattle Population
Genetic Analysis of Cow Survival in the Israeli Dairy Cattle Population Petek Settar 1 and Joel I. Weller Institute of Animal Sciences A. R. O., The Volcani Center, Bet Dagan 50250, Israel Abstract The
More informationPredicting Profit. The Rancher s Guide to EPDs
Predicting Profit The Rancher s Guide to EPDs EPDs (Expected Progeny Differences) are the most powerful selection tool the beef industry has ever had. Their use has converted breeding seedstock cattle
More informationWhere can the greatest economic value of genomic testing be found?
Where can the greatest economic value of genomic testing be found? Albert De Vries Department of Animal Sciences University of Florida Gainesville, FL 32611 devries@ufl.edu Dairy Genomics Workshop, Twin
More informationEPDs and Reasonable Expectations in Commercial Crossbred Operations
EPDs and Reasonable Expectations in Commercial Crossbred Operations Jared Decker, PhD Associate Professor, Division of Animal Sciences, University of Missouri DeckerJE@missouri.edu, A Steak in Genomics
More informationThe economics of using DNA markers for bull selection in the beef seedstock sector A.L. Van Eenennaam 1, J.H. van der Werf 2, M.E.
The economics of using DNA markers for bull selection in the beef seedstock sector A.L. Van Eenennaam 1, J.H. van der Werf 2, M.E. Goddard 3 1 Cooperative Extension Specialist Animal Biotechnology and
More informationThe Effect of Selective Reporting on Estimates of Weaning Weight Parameters in Beef Cattle
The Effect of Selective eporting on Estimates of Weaning Weight Parameters in Beef Cattle C. H. Mallinckrodt, B. L. Golden, and. M. Bourdon Department of Animal Science, Colorado State University, ort
More informationUsing EPDs in a Commercial Herd
Using EPDs in a Commercial Herd R. R. Schalles and K. O. Zoellner Department of Animal Sciences and Industry Kansas State University Manhattan, KS 66506 Today, beef cattle producers have the best tools
More informationWhat dairy farmers should know about genetic selection
52nd Florida Dairy Production Conference 9 Gainesville, FL, April 6, 2016 Francisco Peñagaricano Department of Animal Sciences University of Florida Genetic selection decisions one of the most important
More informationBreeding for Profit from Beef Production ( )
IRISH CATTLE BREEDING FEDERATION Breeding for Profit from Beef Production ( ) Animal Evaluation Unit 1 Overview Overview of Irish beef industry ICBF, ICBF database & Animal Events What are genetic evaluations?
More informationImproving Genetics in the Suckler Herd by Noirin McHugh & Mark McGee
Section 4 23 by Noirin McHugh & Mark McGee Introduction Carefully identifying better animals and breeding them with other superior animals will gradually improve the genetics of a herd. Enhanced genetics
More information6 Breeding your cows and heifers
6 Breeding your cows and heifers 6 Breeding your cows and heifers Regardless of the bulls you use, breeding your herd replacements from your best cows and heifers is essential if you want to achieve the
More informationSire Selection. Dr. Tim Marshall Retired UF Professor of Animal Science Retired Dean and Professor, Abraham Baldwin Agricultural College
Sire Selection Dr. Tim Marshall Retired UF Professor of Animal Science Retired Dean and Professor, Abraham Baldwin Agricultural College Reflections of a middle aged bull buyer Like most of you reading
More informationBeef Production. in a Crisscross Breeding System Involving Angus, Brahman, and Hereford
Beef Production in a Crisscross Breeding System Involving Angus, Brahman, and Hereford October 1973 Bulletin 759 (technical) Agricultural Experiment Stations Institute of Food and Agricultural Sciences
More informationMCA/MSU Bull Evaluation Program 2016 Buyer Survey and Impact Report
MCA/MSU Bull Evaluation Program 2016 Buyer Survey and Impact Report Daniel D. Buskirk*, Kevin S. Gould, and Daniel L. Grooms *Department of Animal Science Michigan State University Extension Department
More informationEstablishment of a Single National Selection Index for Canada
Establishment of a Single National Selection Index for Canada Brian Van Doormaal, Gerrit Kistemaker and Filippo Miglior Canadian Dairy Network, Guelph, Ontario, Canada Introduction Ten years ago, in 1991,
More informationCOW HERD REPLACEMENT. John Dhuyvetter NCREC NDSU Extension
COW HERD REPLACEMENT John Dhuyvetter NCREC NDSU Extension Cow Ownership Costs Cow Longevity Culling Reasons and Rates Depreciation-Replacement Cost Replacement Strategies Raising or Buying Replacements
More informationUniversidade Federal de Lavras, Lavras, MG, Brasil. EMBRAPA Arroz e Feijão, Goiânia, GO, Brasil
Strategies in identifying individuals in a segregant population of common bean and implications of genotype x environment interaction in the success of selection M.P. Mendes 1, M.A.P. Ramalho 2 and A.F.B.
More informationWelcome to Igenity Brangus and the Power of Confident Selection
Now available exclusively through the International Brangus Breeders Association: Welcome to Igenity Brangus and the Power of Confident Selection - - - - - - - - - - - - - - - - - - - - - - - - - - - -
More informationBeef Cattle Handbook
Beef Cattle Handbook BCH-2030 Product of Extension Beef Cattle Resource Committee The Reproductive and Nutritional Management of Beef Bulls Larry R. Corah, Kansas State University Harlan Ritchie, Michigan
More informationORGANIZATION OF ON-FARM BREEDING PLANS FOR BEEF CATTLE R.G. BEILHARZ* Summary
' hoc. Aust. Soc. Anim. Prod. (1974) 10; 25 ORGANIZATION OF ON-FARM BREEDING PLANS FOR BEEF CATTLE R.G. BEILHARZ* Summary The steps for deriving an optimum breeding plan for any particular breeding situation
More informationOutline. Heifers selection. Selection. Maternal Traits. Range Beef Cow Symposium, Dec. 3-5, /5/13. rangebeefcow.com 1
Range Beef Cow Symposium, Dec. 3-5, 213 12/5/13 Outline POST-AI NUTRITIONAL IMPACT ON REPRODUCTION Range Beef Cow Symposium Rapid City, SD 213 Introduction Importance of Reproduction Heifer selection/management
More informationStatistical Indicators
Statistical Indicators E-7 Breeding value estimation of milk production traits with test-day model Introduction What really counts in the livestock industry is to breed a subsequent generation of cattle
More informationHow Much Progress Can Be Made Selecting For Palatability Traits?
How Much Progress Can Be Made Selecting For Palatability Traits? T.A. Olson, D.D. Johnson, and R.L. West Department of Animal Sciences University of Florida Gainesville, Florida Introduction Beef palatability
More informationGenetic analysis of true profit for Spanish dairy cattle
Genetic analysis of true profit for Spanish dairy cattle M.A. Pérez 1, D. Hernández 2, R. Alenda 1, M.J. Carabaño 2 and N. Charfeddine 3 1 ETSIA, Universidad Politécnica, Ciudad Universitaria, 28040 Madrid,
More informationMark Enns BIF 2013 LA- C- EP Commi9ee Breakout 6/13/13. Beef industry has historically adopted technology EPD Ultrasound
R. Mark Enns Colorado State University Uniformity To work for establishment of accurate and uniform procedures for measuring, recording and assessing data concerning the performance of beef cattle. Development
More informationBREEDPLAN EBVs The Traits Explained
BREEDPLAN EBVs The Traits Explained BREEDPLAN currently reports EBVs for a range of economically important traits. These traits include: Weight Fertility/Calving Carcase Other Birth Weight Scrotal Size
More informationGENETIC AND PHENOTYPIC PARAMETERS ESTIMATION OF FIRST LACTATION, LIFE-TIME YIELD AND LONGEVITY TRAITS IN HOLSTEIN CATTLE
GENETIC AND PHENOTYPIC PARAMETERS ESTIMATION OF FIRST LACTATION, LIFE-TIME YIELD AND LONGEVITY TRAITS IN HOLSTEIN CATTLE M. H. SADEK 1, A. A. HALAWA 2, A. A. ASHMAWY 1 AND M. F. ABDEL GLIL 2 1. Department
More informationGenetics of dairy production
Genetics of dairy production E-learning course from ESA Charlotte DEZETTER ZBO101R11550 Table of contents I - Genetics of dairy production 3 1. Learning objectives... 3 2. Review of Mendelian genetics...
More information2018 ICBF and Sheep Ireland Genetics Conference 20 th Anniversary. Dorian Garrick
2018 ICBF and Sheep Ireland Genetics Conference 20 th Anniversary Genetic Improvement of Cattle and Sheep Focus on The Future Dorian Garrick AL Rae Centre for Genetics & Breeding, New Zealand D.Garrick@massey.ac.nz
More informationInvestigation on Genotype by Environment Interaction for Milk Yield of Holstein Cows in Luxembourg and Tunisia
Investigation on Genotype by Environment Interaction for Milk Yield of Holstein Cows in and H. Hammami 1, 5, C. Croquet 1,2, H. Soyeurt 1,4, S. Vanderick 1, S. Khlij 5, J. Stoll 3 and N. Gengler 1,2 1
More informationReal-Life Implementation of Controlled Breeding Season
Real-Life Implementation of Controlled Breeding Season T. R. Troxel, Ph.D. Professor and Associate Department Head, Animal Science, University of Arkansas, Little Rock, AR Story in Brief Reducing the length
More information